Side by side
Scorafy vs ChatGPT
ChatGPT is a brilliant generalist. Scorafy is assessment infrastructure. The difference is not how well the model reads an answer - it is everything around the evaluation.
The short version
If you paste a submission and a rubric into ChatGPT, you will get sensible feedback. We are not going to pretend otherwise, and we publish no benchmark claiming our evaluation is more accurate - both tools are large language models of the same generation, and an accuracy claim without published methodology is marketing.
What a chat window does not give you is the same rubric applied identically to the first submission and the five hundredth, the evidence for each score quoted back so a reviewer can check it in seconds, a gate that stops a result reaching the person before someone has approved it, or a record afterwards of who decided what. Those are the parts that matter the moment a result is consequential or someone disputes it.
Chat tool for thinking. Assessment infrastructure for deciding.
Where the two actually diverge
Every Scorafy row describes behaviour that is live in the product today. The ChatGPT column describes what a chat interface is - not a flaw in it.
Consistency across submissions
ChatGPT
The rubric lives in whatever you pasted into the chat. Re-paste it for each submission, and drift across a long session or between colleagues is invisible.
Scorafy
The rubric is stored on the assessment - up to 10 criteria across 6 performance levels - and applied identically to every submission, in the first evaluation and the five hundredth.
Evidence behind each score
ChatGPT
You can ask for justification, and it will give you one. Whether it is quoted from the submission or reconstructed after the fact is up to you to check, every time.
Scorafy
Every criterion returns the level selected and the evidence for it, quoted from the respondent's own answer. A score you cannot trace back to the answer is not one you can defend.
Human review and release control
ChatGPT
Nothing structural. Whatever you copy out of the chat and send is what the person receives, at whatever moment you send it.
Scorafy
Reports stay in draft until an assessor releases them. Any score can be overridden with a comment, and the respondent sees nothing - no score, no report, no PDF - before release.
Audit trail
ChatGPT
A chat history, if the account still has it. Not attributable to a reviewer, not tied to a version of the rubric, not built to be produced on request.
Scorafy
Every report is stamped with the configuration version it was scored under, overrides live in an append-only ledger, and releases are audited with who and when. A one-button Audit Pack exports configuration, versions, release chain, override ledger and audit log as PDF or JSON.
Cohort view
ChatGPT
One conversation at a time. Aggregating across a group means doing it yourself, in a spreadsheet, by hand.
Scorafy
Cohort and group reports aggregate across respondents - score distribution, shared strengths, common gaps - plus master reports across linked assessments.
Respondent experience
ChatGPT
There is not one. You collect the work some other way first - email, a form, a shared document - and paste it in.
Scorafy
A branded assessment respondents complete from a link with no account, optionally timed with the limit enforced on the server, accepting written answers, document uploads, and video or audio answers with transcription.
Data handling
ChatGPT
A general-purpose tool holding other people's personal data in a chat account. Retention and residency are whatever the plan you are on provides.
Scorafy
Per-organisation isolation via row-level security, EU (Dublin) primary region with an Australian (Sydney) option, retention configurable from 30 to 365 days, a published DPA, and no customer data used to train AI models.
Integration
ChatGPT
Copy and paste, or build against the API yourself - at which point you are building the assessment layer this page is about.
Scorafy
REST API v1 with Bearer authentication and webhooks, including a report.released event, documented at /docs/api.
When ChatGPT is the right choice
Assessment infrastructure is overhead, and overhead you do not need is just cost. In these situations, open a chat window and do not think about it again.
One-off, informal feedback
You have three submissions and want a quick second opinion. Setting up a rubric and an assessment is more process than the task deserves.
Nothing turns on the result
No appeal, no audit, no moderation, nobody downstream asking how the judgement was reached. The overhead of a release gate and an audit trail buys you nothing here.
No cohort to compare
Consistency is a property of many submissions judged the same way. With one person, there is nothing to be consistent with.
Your budget is zero
Scorafy has a free plan - one assessment, ten AI evaluations a month - but if that is not enough and you cannot spend, a chat tool you already pay for is the pragmatic answer.
You are drafting the rubric itself
Thinking out loud about what good looks like is exactly what a generalist chat tool is good at. Bring the rubric here once you have one.
The line is roughly this: the moment a result is shown to the person it is about, compared against someone else’s, or could be challenged, you need consistency, evidence and a review step. Below that line, a chat tool is genuinely fine.
Check the claims on this page
Everything above is documented elsewhere on this site rather than asserted here.
Run one assessment and judge for yourself
Build a rubric, submit an answer, and read the evidence behind every score. Free plan, no card.